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2DEP cytometry: distributed dielectrophoretic cytometry for live cell dielectric signature measurement on population level

P. Fikar, V. Georgiev, G. Lissorgues, M. Holubova, D. Lysak, D. Georgiev,

. 2018 ; 20 (1) : 12. [pub] 20180108

Language English Country United States

Document type Journal Article, Research Support, Non-U.S. Gov't

E-resources Online Full text

NLK ProQuest Central from 1998-09-01 to 1 year ago
Medline Complete (EBSCOhost) from 2005-03-01 to 1 year ago
Nursing & Allied Health Database (ProQuest) from 1998-09-01 to 1 year ago
Health & Medicine (ProQuest) from 1998-09-01 to 1 year ago

In this work, a novel force equilibrium method called distributed dielectrophoretic cytometry (2DEP cytometry) was developed. It uses a dielectrophoresis (DEP)-induced vertical translation of live cells in conjunction with particle image velocimetry (PIV) in order to measure probabilistic distribution of DEP forces acting on an entire cell population. The method is integrated in a microfluidic device. The bottom of the microfluidic channel is lined with an interdigitated electrode array. Cells passing through the micro-channel are acted on by sedimentation forces, while DEP forces either oppose sedimentation, support sedimentation, or neither, depending on the dielectric (DE) signatures of the cells. The heights at which cells stabilize correspond to their DE signature and are measured indirectly using PIV, which enables simultaneous and high-throughput collection of hundreds of single-cell responses in a single PIV frame. The system was validated using polystyrene micro-particles. Preliminary experimental data quantify the DE signatures of immortalized myelogenous leukemia cell lines K562 and KG1. We show DEP-induced cell translation along the parabolic velocity profile can be measured by PIV with sub-micron precision, enabling identification of individual cell DE signatures. DE signatures of the selected cell lines are distinguishable. Throughput of the method enables measurement of DE signatures at 10 different frequencies in almost real time.

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